Spatio-temporal Variability in Surface Ocean pCO2 Inferred from Observations

Jones, Steve (2012) Spatio-temporal Variability in Surface Ocean pCO2 Inferred from Observations. Doctoral thesis, University of East Anglia.

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Abstract

The variability of surface ocean pCO2 is examined on multiple spatial and temporal
scales. Temporal autocorrelation analysis is used to examine pCO2 variability over multiple
years. Spatial autocorrelation analysis describes pCO2 variability over multiple spatial
scales. Spatial autocorrelation lengths range between <50 km in coastal regions and other
areas of physical turbulence up to 3,000 km along major currents. Analysis of the drivers
of pCO2 shows that ocean currents are the primary driver of spatial variability. Autocorrelation
lengths of air-sea CO2 fluxes are approximately half as long as for pCO2 due to
the effects of highly variable wind speeds.
The influence of modes of climate variability on ocean pCO2 and related air-sea CO2
fluxes is examined through correlations of climate indices with interannual pCO2 anomalies
separated from the long-term trend and mean seasonal cycle. Changes in the El Ni˜no
Southern Oscillation alter pCO2 levels by -6.6 � 1.0 �atm per index unit (�atm iu

Item Type: Thesis (Doctoral)
Faculty \ School: Faculty of Science > School of Environmental Sciences
Depositing User: Mia Reeves
Date Deposited: 02 May 2013 09:04
Last Modified: 02 May 2013 09:04
URI: https://ueaeprints.uea.ac.uk/id/eprint/42328
DOI:

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